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The cognitive revolution that occurred
in the 1960’s was based on classical computational logic, and the
connectionist/neural network movements of the 1970’s were based on
classical dynamical systems. These classical assumptions remain at
the heart of both cognitive architecture and neural network theories,
and they are so commonly and widely applied that they are just taken
for granted and presumed to be obviously true. What are these
critical but hidden assumptions upon which all traditional theories
rely? Quantum information processing theory provides a fundamentally
different approach to logic, reasoning, probabilistic inference, and
dynamical systems. For example, quantum logic does not follow the
distributive axiom of Boolean logic; quantum probabilities do not
obey the Kolmogorov law of total probability; quantum reasoning does
not obey the principle of monotonic reasoning. Nevertheless Mother
Nature seems to rely heavily on quantum computing principles in many
domains of science. This talk will provide an exposition of the
basic assumptions of classic versus quantum information processing
theories.
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These basic assumptions will be examined,
side by side, in a parallel and elementary manner. For example,
classical systems assume that measurement merely observes a pre
existing property of a system; in contrast, quantum systems assume
that measurement actively creates the existence of a property in a
system. The logic and mathematical foundation of classic and quantum
theory will be laid out in a simple and elementary manner that
uncovers the mysteries of both theories. Classic theory will emerge
to be seen as a possibly overly restrictive case of the more general
quantum theory. The fundamental implications of these contrasting
assumptions will be examined closely with concrete examples and
applications to cognition. New research programs in cognition based
on quantum information processing theory will be reviewed. Quantum
computing theory (Nielsen & Chuang, 2000) provides universal
computing capabilities, but it also provides an ideal way of
operating under uncertainty. In this theory, sequences of inferences
and actions are accomplished by using sequences of control U gates,
which are unitary operators operating on superposed quantum states. |